Education, Science, Technology, Innovation and Life
Open Access
Sign In

Research on part-of-speech relationship between English-Chinese translation based on corpus

Download as PDF

DOI: 10.23977/langl.2023.060101 | Downloads: 31 | Views: 656

Author(s)

Zhaoxia Liu 1

Affiliation(s)

1 University of Sanya, Sanya, Hainan, China

Corresponding Author

Zhaoxia Liu

ABSTRACT

Based on the self-built English and Chinese translation corpus, this paper compares the differences between Chinese translation and English original texts, including English translation and Chinese original, makes clear the scope of common parts of speech to distinguish the category of text, analyzes and thinks about the differentiation of text language classes and the correlation degree of various language characteristics, and analyzes and studies the verb changes in English and Chinese translation.

KEYWORDS

Corpus, English-Chinese translation, Part-of-speech relationships

CITE THIS PAPER

Zhaoxia Liu, Research on part-of-speech relationship between English-Chinese translation based on corpus . Lecture Notes on Language and Literature (2023) Vol. 6: 1-4. DOI: http://dx.doi.org/10.23977/langl.2023.060101.

REFERENCES

[1] Yu Pingping. (2020). Corpus-based Equivalence of "Knowing" Translation [J]. Novel Monthly, 000(022), P.1-1.
[2] Shang Wenbo. (2020). Manifestation Characteristics of Logical Relationship of English and Chinese Academic Translation Texts Based on Corpus: A Case Study of Handbook of Social Justice in Education [J]. Contemporary Foreign Language Research, 5, 11.
[3] Liu Yang, Zhu Yubin. (2019). A Preliminary Study on the Manifestation of Causality Translation Based on Self-built Financial Discourse Corpus [J]. Journal of Hefei University: Comprehensive Edition, 36(6), 6.
[4] Wang Lisong, Zhao Han. (2018). Analysis of Lexical Characteristics of Chinese-English Translation News with Self-built Corpus [J]. Journal of Tianjin University: Social Science Edition, 20(4), 4.
[5] Wang Xiaohui, Go Juxia. (2019). An Empirical Study on Corpus-based University Translation Teaching Model [J]. Journal of Modern Linguistics, 7(4), 13.

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.